Automated Monthly Social Media Report Generation

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This n8n workflow automates the process of generating and storing a comprehensive Monthly Social Media Report. Triggered via a webhook, it processes incoming data, utilizes language models for analysis, and embeds information into a vector database for improved context handling. The workflow then uses a Retrieval-Augmented Generation (RAG) approach to generate insights or summaries, which are logged into Google Sheets. If any errors occur, notifications are sent via Slack. This automation streamlines social media analytics, making it easier to track monthly performance and insights without manual intervention. It’s ideal for marketing teams seeking to automate their reporting and data analysis processes.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, googleSheets, slack, stickyNote, webhook

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